Int3 quantization may cause measurable degradation in model accuracy. We recommend exercising caution when using this model. As of 2025-09-15, create a fresh Python environment and run: As of 2025-08-21, create a fresh Python environment and run: You can get to know us better through the following channels👇 > [!NOTE] > This model card is dedicated to the Seed-OSS-36B-Instruct model. — [2025/08/20]🔥We release Seed-OSS-36B-Base (both with and without synthetic data versions) and Seed-OSS-36B-Instruct. Seed-OSS is a series of open-source large language models developed by ByteDance’s Seed Team, designed for powerful long-context, reasoning, agent and general capabilities, and versatile developer-friendly features. Although trained with only 12T tokens, Seed-OSS achieves excellent performance on several popular open benchmarks. We release this series of models to the open-source community under the Apache-2.0 license. > [!NOTE] > Seed-OSS is primarily optimized for international (i18n) use cases. — Flexible Control of Thinking Budget: Allowing users to flexibly adjust the reasoning length as needed. This capability of dynamically controlling the reasoning length enhances inference…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: QuantTrio
Теги: seed_oss, vLLM, GPTQ, conversational, zh, en, endpoints_compatible, 3-bit
Лайков: 3 | Загрузок: 29
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
